Product Manager- MarTech
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Tata CLiQ is the flagship digital commerce initiative of the Tata Group. It is a multi-category e-commerce platform, operating across categories such as Fashion, Footwear and Accessories, Electronics and Luxury. Tata CLiQ has a unique omni-channel marketplace model offering customers the convenience of quicker delivery (by shipping from store), easy pick-up and returns, across 1,200+ brands and 1,000 stores in 100+ Indian towns and cities. It is also India’s definitive destination for exclusive Fashion and Electronics brands.

Here’s What We Believe In

We obsess over customer delight

We treat our brands as symbiotic partners and key stakeholders

We will never compromise trust in pursuit of commercial advantage

We will build a business that is meaningful for our stakeholders (customers, brands and shareholders) and makes long term economic sense

Collaborate with usability and technology team to develop a deep understanding of customers, identify gaps in core product functionality and help build right set of features and track adoption for same.

Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.

Ensure PRDs, flow diagrams and wireframes are properly translated to live site and drive problem resolution once new features have gone live.

Engage in defining a strategic creative direction for product and marketing communication.

Provide analytics based insights to help marketing team optimize marketing spends.

Champion customer satisfaction by working with customer support team, oversee customer grievance resolution and trouble shoot in case of escalations.

Work with various support teams (technology, design, marketing, contracting) to manage operational issues such as fulfilment, external partner relationships, legal and other compliances and customer conversions.

Right Person

Essential Attributes

Product Design & Development skills

Strong process orientation

Mobile first thinking

Analytical skills

Strong Communication

Using Data to take decisions

Strong Engineering Skills ( System Architectural models)

Data modelling experience- SQL and NoSQL

Knowhow of lifecycle of machine learning models.

Very Strong understanding of tag management and web analytics

Understanding of Data Flow and Data visualisation

Very strong understanding of an automation marketing tech stack and generic integrations

B.Tech (CS) with professional experience in data engineering and automation marketing